Four On-Device AI Projects Built with Gemma 4

Gemma 4 is an open model family that can run locally, from phones to workstation GPUs. I introduce four projects showing how on-device AI can support offline conversation, robotics, wildlife research, and coding education.

- Gemma 4 overview: local use, fine-tuning, and deployment across different devices
- Project examples: an offline conversational assistant and a wearable robotic arm
- Remote and educational use: wildlife analysis without connectivity and an offline coding helper for students
- Getting started: try Gemma 4 in Google AI Studio or download its weights from Hugging Face

For developers, educators, and anyone exploring local AI, these examples offer ideas for applications that can work without cloud access. The focus is on use cases rather than setup instructions or performance comparisons; viewers can explore Gemma 4 through the resources mentioned.